DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
2021
Conference Paper
ei
Author(s): | Harder, F. and Adamczewski, K. and Park, M. |
Book Title: | Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) |
Volume: | 130 |
Pages: | 1819--1827 |
Year: | 2021 |
Month: | April |
Series: | Proceedings of Machine Learning Research |
Editors: | Arindam Banerjee and Kenji Fukumizu |
Publisher: | PMLR |
Department(s): | Empirical Inference |
Research Project(s): |
Privacy
|
Bibtex Type: | Conference Paper (conference) |
Event Name: | AISTATS 2021 |
Event Place: | Virtual Conference |
State: | Published |
URL: | http://proceedings.mlr.press/v130/harder21a.html |
BibTex @conference{HarAdaPar, title = {DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation}, author = {Harder, F. and Adamczewski, K. and Park, M.}, booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)}, volume = {130}, pages = {1819--1827}, series = {Proceedings of Machine Learning Research}, editors = {Arindam Banerjee and Kenji Fukumizu}, publisher = {PMLR}, month = apr, year = {2021}, doi = {}, url = {http://proceedings.mlr.press/v130/harder21a.html}, month_numeric = {4} } |